Digital Twin Examples: Live Demos by Sector

The shortest way to explain a digital twin is to open one. That is why our demos page collects digital twin examples that open in the browser with nothing to install. Each demo focuses on a single question and shows its answer on screen.

A note first: the sites and the data in the demos are simulated. They are not a real customer’s data. The one exception is the Ankara’s water demo, which runs on public data.

Manufacturing

OnoTwin Studio. The application itself, on a sample plant’s data: the daily summary, stop analysis and the live 3D scene. Where the other demos each tell one story, this is the screen a factory uses every day. The product details are on the OnoTwin Studio page.

Die-casting cell. The cycle of a die-casting cell is split into its phases: you see which phase the loss sits in and the die data that comes with it. The question: why did the cycle get longer, and in which phase?

Weaving hall. A 32-loom hall’s efficiency loss is shown in metres of fabric. The advisor traces it to the hall’s humidity and a humidifier line. The question: where is the loss, and could its cause be outside the machine?

Pump vibration. A fault is injected into a pump’s digital twin, and you see what the diagnosis engine finds and which measurement it rests on. The question: how do you notice a fault before it becomes a breakdown? The topic itself is on the predictive maintenance page.

Transport

Train maintenance depot. The wheel measurements, the inspections and the wheel lathe’s queue are followed through the night. The set that will miss the morning service, and the reason, show up hours ahead. The question: which set will not be ready in the morning?

Train twin. Every axle’s speed is followed as a suburban set brakes on its morning run. The axle that locks at every stop and the slide protection valve that sticks are found. The question: which part is behind a recurring fault?

Energy and water

Wind farm. Each turbine’s wind and output, and the city’s demand, are shown three days ahead; the maintenance moves out of the strongest wind into a calm window. The question: when does maintenance cost the least output?

Water network. A district’s night flow at its inlet meter is followed against normal, and the loss is traced to one street with noise loggers. The question: where is the leak?

Ankara’s water. The dam levels published by ASKİ, the water sent to the city and the water flowing into the dams are followed in 3D over two years, and what-ifs on losses and saving can be tried. It runs on public data and is not an ASKİ product. The question: how much do losses and saving change the dam levels?

Healthcare

Hospital. Emergency, the wards, intensive care and the operating rooms on one screen: the beds emptied but not released, the pumps standing idle and the theatre waiting. The question: is capacity really full, or only full on paper?

MRI suite. The day’s exams are followed against the schedule, and the afternoon’s delays are traced to the scanner’s cooling and the hospital’s chilled water. The question: is the delay in the scanner, or in the building?

Hospitality

Resort hotel. The guests at the reception, the buffet and the pool are simulated on a changeover day, and a third desk or a second buffet line is tried before the day comes. The question: how do the changeover-day queues get shorter?

This demo is less a monitoring screen than a simulation: it tries a day that has not happened yet. We covered the difference in simulation or digital twin.

What they share

The sectors differ, the set-up is the same: a 3D model of the site, the data connected to it and a single answer drawn from that data. The weaving hall’s humidity and the MRI’s cooling are the same kind of finding: the cause of the loss sits outside the machine where the loss shows. Seeing that takes the machines and their surroundings on one screen, which is the digital twin’s job.

A twin of your own site is built by connecting to the data of your machines and systems. We covered where that data comes from in where factory data comes from. If you would like to talk about the question you need answered for your site, write to us; our digital twin work starts from that question too.

Frequently Asked Questions

What are some examples of digital twins?

A die-casting cell's cycle phases, a weaving hall's efficiency loss, a pump's vibration, a train depot's night plan, a wind farm's output forecast, a water network's night flow and a hospital's bed status can all be followed with a digital twin. On Ono Teknoloji's demos page each of these examples opens in the browser.

Are digital twins only for factories?

No. A digital twin can be built for any physical system whose data can be measured: production lines, train maintenance depots, wind farms, water networks, hospitals and hotels are some of them.

Is the data in the demos real?

No. The sites and the data in the demos are simulated. The Ankara's water demo is the exception: it runs on dam level and water data published by ASKİ, but it is not an ASKİ product.

How is a digital twin of my own site built?

The twin is built by connecting to the data of the site's machines and systems: PLCs, meters, sensors or records entered by operators. Where each piece of data comes from varies from site to site; the first step is to settle which question needs answering and which data that question needs.